The US calls the UK's plan to rank "trustworthy" news censorship
Washington has filed a formal objection to Britain's plan to make platforms push approved news to the top of your feed, OpenAI's own chart says the longer an agent works the more it needs you, and a Chinese city has decided inference bills are a talent problem.
The Trump administration has told the UK that forcing platforms to promote "trustworthy" news providers would be censorship — and that it would treat it as such. The US Embassy in London filed a response to DCMS's Green Paper "Watch this Space," arguing that "if the UK compels platforms to boost government-preferred media in algorithmic feeds, the effect on a government-disfavoured speaker or media source's reach is not meaningfully different than outright removal." It warned the regime could undermine independent journalists and amount to "extraterritorial censorship of protected speech by Americans online," and asked what safeguards would stop "any biases and preferences of UK government officials and third-party organisations" from shaping who qualifies. The UK's proposal would ask YouTube, Meta and TikTok to voluntarily surface "a range of national and local news publishers" — the BBC, ITV, STV, Channel 4, S4C, Channel 5 and "other trustworthy providers" — higher in news-related results and feeds, with legislation on the table if platforms decline.
The substance is buried in a definition nobody has written yet. The Green Paper floats the Online Safety Act 2023's "recognised news publisher" test as a starting point, which the US says would handicap American and other outlets that fall outside it. The domestic pushback is sharper than the American one: the News Media Association — the commercial publishers the policy is supposedly meant to help — argues the Online Safety Act definition is too broad, that tying eligibility to an approved regulator would be a press-freedom problem, and that prominence on social platforms is not the same animal as prominence on an EPG. Its reasoning is the most useful sentence in the whole consultation: on television, prominence buys viewers that let a broadcaster charge more for advertising; in a feed, users read the headline and move on, so "any value created is retained by the platform." A DCMS spokesperson said any action "will ensure" free expression and fair competition are protected; insiders say any measures would apply only in the UK.
Read the American intervention for what it is: not a First Amendment defence mission but the US fighting for the mostly American platforms that would have to build the ranking system. It is still the right question. A government writing the list of "trustworthy" publishers is a government holding a ranking lever, and DCMS minister Ian Murray has already floated that YouTube itself might count as public service media — which means the definition will be argued over by exactly the companies it regulates.
OpenAI's own data says autonomy decays with the length of the task, and the numbers are worse than the headline suggests. The company's research-acceleration post reports 3.1 agent-workdays per human research day and describes an "automated research intern" milestone, but its chart of real coding-agent tasks delegated by its own researchers shows something more specific: of the tasks that succeeded, 8.5 percent needed a human step-in when the equivalent human work was under 15 minutes, 36.7 percent at two to four hours, 51.1 percent at four to eight hours, and 72 percent at the 16-to-32-hour range. Put differently, the share of successful tasks that ran hands-off falls from 86 percent to 23 percent as the horizon stretches, even as overall success only slides from 94 percent to 82 percent. We covered the acceleration numbers this morning in OpenAI says its agents now do 3.1 days of research per human day.
The gap between those two columns is the real product specification nobody publishes. "88 percent success at four to eight hours" is the number a vendor quotes; "barely half of those finished without someone opening the loop" is the number that decides whether you can hand a task over and go to lunch. It also reframes the intervention problem as an interface problem rather than a capability one — a step-in that costs a dashboard login and a context rebuild is a different product from a step-in that costs one reply in the thread where the agent already works. Until labs report zero-intervention completion as the headline metric, every long-horizon autonomy claim is measuring the wrong thing.
Hangzhou will hand out AI token cards across 35 startup parks starting September 20 — reportedly the first time a Chinese local talent agency has paid for individuals' inference directly. Each card carries 10,000 credits worth about 500 yuan, redeemable against Alibaba's Qianwen Office agent platform, and anyone working in one of the city's municipal graduate entrepreneurship parks can claim one from their park office with a badge or a company chat screenshot — no application, no review. The city's talent service centre frames it plainly: a ten-person startup spending several thousand yuan a month on tokens is normal, and some employees are paying for AI tools out of pocket. It runs on top of a stack Hangzhou has been building since 2023, when it created a 50 million yuan compute voucher for SMEs, raised to 250 million yuan a year from 2024.
The interesting move is the direction of travel, not the amount. Vouchers have always gone to companies training models; this one goes to individuals using agents, which is a different theory of what the subsidy is for. It is also an acquisition channel with a government logo on it — Qianwen Office launched on August 3 and passed 30 million users in its first month with more than half from enterprise accounts, and 120 version updates in that span. Hangzhou is where 1,128 of Zhejiang's 2,536 one-person companies sit, and it has made "national AI innovation capital" its first-order goal for the next five-year plan; buying the tool budget for the youngest, most cost-sensitive founders in 35 parks is cheap relative to that. Watch whether the city expands the scheme — the talent centre says it will decide based on usage — and whether other cities copy the form.
What to watch: whether DCMS writes a definition of "trustworthy" narrow enough to survive both the US objection and its own publishers, and whether any lab starts publishing hands-off completion rates alongside success rates.
If a government can make platforms rank some publishers above others, who decides who is trustworthy — and do you trust that decision-maker? Tell us in the comments.
Sources: The Guardian · Press Gazette — US censorship warning · Press Gazette — prominence proposals · OpenAI — Research acceleration · SiliconReport · r/AI_Agents analysis of the intervention chart · 杭州网 — 涌金楼：这笔token账，杭州出手了 · 新浪财经
